Anupam Kumar Sharma
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Artificial Intelligence
- Plant Science
- Information Systems
- Co-authors
- Munesh Chandra TrivediRajesh Kumar DhanarajAnil Kumar SagarPratibha PandeyKlimis NtalianisAnand NayyarPranay VermaAnamika Singh
- Topics
- Date Palm Research Studies (4 papers)Smart Agriculture and AI (4 papers)Food Supply Chain Traceability (3 papers)
- Partner nations
- IndiaBangladeshVietnam
In The Last Decade
Anupam Kumar Sharma
19 papers receiving 91 citations
Peers
Comparison fields: 5 of 60
- Computer Networks and Communications 36
- Electrical and Electronic Engineering 19
- Artificial Intelligence 17
- Plant Science 15
- Information Systems 13
Countries citing papers authored by Anupam Kumar Sharma
This map shows the geographic impact of Anupam Kumar Sharma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anupam Kumar Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anupam Kumar Sharma more than expected).
Fields of papers citing papers by Anupam Kumar Sharma
This network shows the impact of papers produced by Anupam Kumar Sharma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anupam Kumar Sharma. The network helps show where Anupam Kumar Sharma may publish in the future.
Co-authorship network of co-authors of Anupam Kumar Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Anupam Kumar Sharma. A scholar is included among the top collaborators of Anupam Kumar Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anupam Kumar Sharma. Anupam Kumar Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 9 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | Usability Assessment of Mobile Software Applications: A Systematic Review | 1 |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 21 | |
| 19 | 2 | |
| 20 | 5 |
About Anupam Kumar Sharma
Anupam Kumar Sharma is a scholar working on Human-Computer Interaction, Developmental Biology and Information Systems, having authored 23 papers that have together received 104 indexed citations. Recurring topics across this work include Date Palm Research Studies (4 papers), Smart Agriculture and AI (4 papers) and Food Supply Chain Traceability (3 papers). The work is most often cited by research in Computer Networks and Communications (36 citations), Information Systems (13 citations) and Artificial Intelligence (17 citations). Anupam Kumar Sharma has collaborated with scholars based in India, Bangladesh and Vietnam. Frequent co-authors include Munesh Chandra Trivedi, Rajesh Kumar Dhanaraj, Anil Kumar Sagar, Pratibha Pandey, Klimis Ntalianis, Anand Nayyar, Pranay Verma, Anamika Singh, Vinod Kumar Verma and Vinita Sharma. Their work appears in journals such as Otolaryngology, IEEE Journal of Oceanic Engineering and Multimedia Tools and Applications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.